Coreference Resolution is an essential task for Natural Language Processing (NLP)
application, which has a paramount impact on the performance of text summarization …

Coreference resolution deals with resolving mentions of the same underlying entity in a
given text. This challenging task is an indispensable aspect of text understanding and has …

In this paper we present a module of the Text Simplification architecture that we are
implementing. Exactly, we describe the module that carries out the task of splitting sentences …

A coreference chain is the set of linguistic expressions—or mentions—that refer to the same
entity or discourse object in a given document. Coreference resolution consists in detecting …

In this paper we present the coreferential tagging of part of the EPEC Corpus of Basque.
Although coreference is a pragmatic linguistic phenomenon highly dependent on the …

One of the key steps in language resource creation is the identification of the text segments
to be annotated, or markables, which depending on the task may vary from nominal chunks …

In this paper we have performed a study on Apposition in Basque and we have developed a
tool to identify and to detect automatically these structures. In fact, it is necessary to detect …

In this paper we present our work on Coreference Resolution in Basque, a unique language
which poses interesting challenges for the problem of coreference. We explain how we …

This paper proposes XML-TEI-URS, a generic TEI-based format for the annotation of
coreferences in arbitrary corpora. This proposal is made in the context of Democrat, a …

Natural Language Processing, is an important collection of methods for processing the vast
amounts of available natural language text we continually produce. These methods make …